Identifying individual animals is crucial for many biological investigations. In response to
some of the limitations of current identification methods, new automated computer vision …

Deep learning (DL) algorithms are the state of the art in automated classification of wildlife
camera trap images. The challenge is that the ecologist cannot know in advance how many …

Wildlife camera traps and crowd-sourced image material provide novel possibilities to
monitor endangered animal species. The massive data volumes call for automatic methods …

Photo-identification of individual snow leopards (Panthera uncia) is the primary data source
for density estimation via capture-recapture statistical methods. To identify individual snow …

In this paper we propose a method to match pelage patterns of the Saimaa ringed seals
enabling the re-identification of individuals. First, the pelage pattern is extracted from the …

Monitoring marine mammals is of broad interest to governments and individuals around the
globe. Very high-resolution (VHR) satellites hold the promise of reaching remote and …

Simple Summary Zoos use automated systems to study animal behavior. These systems
need to be able to identify animals from different cameras. This can be challenging, as …

We propose a method for Saimaa ringed seal re-identification. Access to large image
volumes through camera trapping and crowdsourcing provides novel possibilities for animal …

Photo identification is an important tool in the conservation management of endangered
species, and recent developments in artificial intelligence are revolutionizing existing …

Access to large image volumes through camera traps and crowdsourcing provides novel
possibilities for animal monitoring and conservation. It calls for automatic methods for …